Artificial intelligence (AI) Risks and Opportunities: AI Insights Series from McCarthy Tétrault’s Cyber/Data Group
Artificial intelligence (AI) is transforming the global business landscape and becoming a strategic imperative for clients, regardless of the industries in which they operate. AI-related innovations and new technologies are emerging at a breakneck pace, and businesses are increasingly developing and deploying more AI solutions and building upon their existing applications. Along with these opportunities come inherent legal risks that you need to consider when incorporating AI in your day-to-day operations. Featuring analysis from our multidisciplinary Cyber/Data Group, McCarthy Tétrault’s Artificial Intelligence Insights Series provides you with valuable insights into important trends in AI, its role in reshaping Canadian industries – from healthcare, to real estate, to banking – and how it could impact your business so you can stay ahead of the curve.
The series will arm you with the information you need to effectively navigate the opportunities and challenges stemming from a variety of AI-related legal issues. What are the risks and key considerations when using AI to inform employment-related decisions? How can financial services institutions most effectively deploy AI within the ever-evolving regulatory landscape? Could AI get you sued? Have you considered all of the privacy-related risks and challenges with respect to AI?
Our series will answer these questions and much more. We’ll continue to update this page with the latest content so be sure to bookmark it.
McCarthy Tétrault’s Cyber/Data Group has extensive regional and national experience in privacy, data protection and cybersecurity and a track record in advising key sectors on critical issues in novel and complex areas of law. Our team can help you navigate the privacy and data landscape so you can leverage the value of data, develop responsible AI practices, protect your organization’s assets and cement customers’ and clients’ digital trust.
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AI and its Role in the Anne Frank Cold Case
Canadian Author Rosemary Sullivan’s book, The Betrayal of Anne Frank: A Cold Case Investigation, drew worldwide attention upon its publication on January 17, 2022. The book documents research from a five-year investigation into who betrayed Anne Frank by alerting the Nazis to her and her family’s whereabouts. The cold-case investigation team involved more than 20 core people plus dozens of consultants and helpers. Of significance was the use of artificial intelligence (“AI”) by the investigation team.
AI in the Canadian Financial Services Industry
In recent years, players within Canada’s financial services industry, from banks to Fintech startups, have shown early and innovative adoption of artificial intelligence (“AI”) and machine learning (“ML”) within their organizations and services. With the ability to review and analyze vast amounts of data, AI algorithms and ML help financial services organizations improve operations, safeguard against financial crime, sharpen their competitive edge and better personalize their services.
An AI a Day Keeps the Doctor Away?: Regulating Artificial Intelligence in Healthcare
Artificial Intelligence (“AI”) promises to transform many aspects of everyday life for Canadians. AI tools are predicted to dramatically improve the provision of heath care by improving the quality, safety, and efficiency of diagnostic tools, treatment decisions, and care. Although AI innovations are, in many cases, still years away from general deployment into the Canadian health care ecosystem, AI is already used in some circumstances to read medical images, allowing machine learning to support diagnosticians in their decision-making.
Considerations and Risks of AI in Employment Decisions
The tech world trend of artificial intelligence (“AI”) is becoming increasingly prevalent in employment matters. For example, employers are using AI to attract candidates, evaluate job performance and automate certain positions; however, there are controversies over the use of AI, including it resulting in the continuation of patterns of bias and discrimination in employment-related decision making and the potential of compromising privacy rights.
Could AI get you sued? Artificial intelligence and litigation risk
To maximize hiring efficiency, your business has decided to employ artificially intelligent technology to scope out job applicants and recommend top candidates. Unbeknownst to your business, the technology’s algorithm is biased in favor of white male candidates. Your business is sued for hiring discrimination. Could the business be held liable? If not, who could be?
AI and Patent Law: Can AI Be an “Inventor”?
As technology surrounding artificial intelligence (“AI”) continues to improve, so does its capacity for increasingly complex tasks. In fact, some AIs have become so advanced that they now have the capacity to conceptualize and create inventions.
Arbitration and AI – friends or foes?
Arbitration is a flexible, efficient and cost-effective way for parties to resolve disputes, often with the added benefits of a confidential, tailor-made process that suits the parties and the dispute, and that can lead to a quick and final determination.
- iTechLaw AI Green Paper – The EU AIA
- Responsible AI: A Global Policy Framework 2021 Edition
- OSFI Announces Proposed Revisions to Guideline E-23 on Model Risk Management
- S. House and Senate Reintroduce the Algorithmic Accountability Act Intended to Regulate AI
- A Canadian Perspective on the EU’s Proposed Data Governance Act
- Utilisation responsable de l’intelligence artificielle dans le secteur financier : l’Autorité des marchés financiers dévoile son rapport